Abstract
AbstractThe Country Compendium of the Global Register of Introduced and Invasive Species (GRIIS) is a collation of data across 196 individual country checklists of alien species, along with a designation of those species with evidence of impact at a country level. The Compendium provides a baseline for monitoring the distribution and invasion status of all major taxonomic groups, and can be used for the purpose of global analyses of introduced (alien, non-native, exotic) and invasive species (invasive alien species), including regional, single and multi-species taxon assessments and comparisons. It enables exploration of gaps and inferred absences of species across countries, and also provides one means for updating individual GRIIS Checklists. The Country Compendium is, for example, instrumental, along with data on first records of introduction, for assessing and reporting on invasive alien species targets, including for the Convention on Biological Diversity and Sustainable Development Goals. The GRIIS Country Compendium provides a baseline and mechanism for tracking the spread of introduced and invasive alien species across countries globally.
Design Type(s)
Data integration objective ● Observation design
Measurement Type(s)
Alien species occurrence ● Evidence of impact invasive alien species assessment objective
Technology Type(s)
Agent expert ● Data collation
Factor Type(s)
Geographic location ● Origin / provenance ● Habitat
Sample Characteristics - Organism
Animalia ● Bacteria ● Chromista ● Fungi ● Plantae ● Protista (Protozoa) ● Viruses
Sample Characteristics - Location
Global countries
Funder
European Union through the Secretariat of the Convention on Biological Diversity within the framework of the Global Invasive Alien Species Information Partnership
Department of Education and Training | Australian Research Council
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
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